This article presents the research work that exploits using XML (Extensible Markup Language) to represent different types of information in mobile agent systems, including agent c...
Previous research in Artificial Intelligence has identified the possibility of simplifying planning problems via the identification and exploitation of symmetries. We advance t...
We have constructed ADVISOR, a two-agent machine learning architecture for intelligent tutoring systems (ITS). The purpose of this architecture is to centralize the reasoning of a...
This paper presents iFALCON, a model of BDI (beliefdesire-intention) agents that is fully realized as a selforganizing neural network architecture. Based on multichannel network m...
One of the crucial reasons for adding semantic descriptions to Web services is to enable intelligent discovery, removing the need for a human to manually search and browse textual ...